A3 Book section, chapters in research books

Framework for Applying Full Reference Digital Image Quality Measures to Printed Images


Publication Details
Authors: Eerola Tuomas, Kämäräinen Joni-Kristian, Lensu Lasse, Kälviäinen Heikki
Editors of book: Arnt-Borre Salberg, Jon Yngve Hardeberg, and Robert Jenssen
Publisher: Springer Verlag (Germany): Series
Publication year: 2009
Language: English
Related Journal or Series Information: Lecture Notes in Computer Science
Title of parent publication: Image Analysis: 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009
Journal acronym: LNCS
ISBN: 978-3-642-02229-6
ISSN: 0302-9743
eISSN: 1611-3349
JUFO-Level of this publication:
Open Access: Not an Open Access publication

Abstract
Measuring visual quality of printed media is important as printed products play an essential role in every day life, and for many "vision applications", printed products still dominate the market (e.g., newspapers). Measuring visual quality, especially the quality of images when the original is known (full-reference), has been an active research topic in image processing. During the course of work, several good measures have been proposed and shown to correspond with human (subjective) evaluations. Adapting these approaches to measuring visual quality of printed media has been considered only rarely and is not straightforward. In this work, the aim is to reduce the gap by presenting a complete framework starting from the original digital image and its hard-copy reproduction to a scanned digital sample which is compared to the original reference image by using existing quality measures. The proposed framework is justified by experiments where the measures are compared to a subjective evaluation performed using the printed hard copies.

Last updated on 2017-08-06 at 16:48